ATG5 promotes head and neck squamous cell carcinoma by regulating translation and cell cycle

doi:10.21203/rs.3.rs-1539337/v1

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ATG5 promotes head and neck squamous cell carcinoma by regulating translation and cell cycle

https://doi.org/10.21203/rs.3.rs-1539337/v1

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Head and neck squamous cell carcinoma (HNSCC) is the most prevalent malignant tumor of the maxillofacial area. Carcinogenesis might be fueled by abnormal activation of the central cell-cycle machinery and dysregulation of protein production. ARGs (autophagy-related genes) are involved in the cell cycle and translation. In HNSCC, however, the involvement of ARGs during the cell cycle and translation has yet to be discovered. In this study, we focused on the ARG hallmark's prognosis in HNSCC patients. According to the TCGA data, ATG5 was shown to be an adverse prognostic marker. ATG5 is one of the most significant autophagy regulators. Regardless of tumor stage, grade, or clinical characteristics, HNSCC patients with high ATG5 expression had a poorer survival rate. ATG5 knockdown suppressed the malignant features of HNSCC cell lines. The mechanism study demonstrated ATG5 knockdown could prevent the malignant phenotype of HNSCC by reversing the cell cycle and translation. One of the systems influencing cell cycle control in ATG5-dependent ways might include HDAC2, TTK, and CDK1. MRPL18, MRPL13, and MRPS14 might all be implicated in ATG5-dependent translation regulation. In conclusion, the current research suggests that ATG5 is a key player in cell cycle and translation regulation, as well as poor prognosis in HNSCC.

HNSCC

ATG5

cell cycle

translation

Head and neck squamous cell carcinoma (HNSCC) is the most prevalent malignant tumor of the maxillofacial area [1], accounting for more than 95% of head and neck malignancies. It is highly aggressive and has a high mortality rate, with poor overall survival rate of approximately 50% [2]. Surgery, radiotherapy, chemotherapy, or a combination of multiple modalities are all alternatives for treating head and neck squamous carcinoma, but there is no standard treatment strategy. Because the head and neck area converge with many important organs, such as the eyes, nose, and tongue, and patients' compliance with treatment is reduced, surgery may have negative effects on patients' appearance, diet, and other aspects, even though it can effectively inhibit the development of the disease. The State Drug Administration has approved Cetuximab, an epidermal growth factor receptor inhibitor, and Pembrolizumab, an anti-PD-1/PD-L1 monoclonal antibody, for the first-line therapy of head and neck squamous carcinoma [3; 4]. However, when administered alone, these medications are ineffective, and even when paired with radiotherapy or chemotherapy, they have minimal therapeutic effects. In the recent decade, the death rate of head and neck squamous carcinoma has not improved significantly. As a result, developing extremely sensitive tools for early diagnosis of HNSCC and identifying effective therapy targets for HNSCC are critical.

Autophagy, a type II programmed cell death, plays a crucial role in cancer along with autophagy-associated (ATG) proteins. Many ATG protein molecules and their core complexes, such as the autophagy-specific class III PI3K complex, ULK1/2 kinase core complex, ATG12, ATG9A transporter system and LC3 ubiquitin-like coupling system, provide multiple activities of autophagic pathways implicated in autophagy induction, nucleation, elongation, growth, merging, and degradation, are still debated to this day [5; 6]. Autophagy operates as a tumor suppressor or promoter [7] in various situations and stages of cancer development. In the early stages of carcinogenesis, autophagy acts as a survival path and quality method of control, preventing tumorigenesis and inhibiting tumor growth [8; 9]. For example, boosting autophagic flux to decrease mammary carcinogenesis by interfering with the interaction of Beclin 1 and Bcl-2 has been found to support autophagy's tumor suppressive effect in the MMTV-Neu mice model [10]. In the Beclin1+/- mouse model, however, the spontaneous frequency of malignant tumors was greater, supporting autophagy as a tumor suppressor mechanism. Autophagy, on the other hand, functions as a dynamical degradation and cycling system that can help established tumors survive and develop by scavenging harmful oxygen free radicals and broken proteins, preserving mitochondrial function, supporting metabolic, as well as surviving under stress. Autophagy has been implicated in the survival of cancer cells in numerous studies [11]. Autophagy has been linked to increased tumor aggressiveness through the promotion of metastasis [12; 13]. Furthermore, autophagy may impair the therapeutic efficiency of most chemotherapeutic drugs as a cellular defense mechanism. While ATG proteins, the core proteins of mammalian autophagy, are important in the regulation of autophagy, no studies have been done on the role of particular ARGs in the development of head and neck squamous carcinoma.

In our study, we sought to evaluate the clinical predictive significance of basic ARG in HNSCC. In HNSCC, we discovered that a higher expression of ATG5 was found to be a significant poor prognostic marker. We also conducted additional research to confirm the role of ATG5 in HNSCC. HNSCC cell lines with ATG5 knockdown had their malignant characteristics suppressed. ATG5 may be involved in regulating cell cycle and translational activities in HNSCC cells, according to further mechanistic analysis. Our data imply that ATG5 is a poor prognostic biomarker and could be applied to target HNSCC therapy.

Cell lines

HNSCC cell lines SCC1, SCC9, SCC15, and SCC25 were acquired from Type Culture Collection of the Chinese Academy of Sciences in Shanghai, China. At a 37°C incubator with 5% CO2, all the cells were grown in Dulbecco's Modified Eagle's Medium (DMEM, Gibco, 11885-076) supplemented with 10% fetal bovine serum (FBS, Gibco, 10270-106) and 1% penicillin-streptomycin (Gibco, 15140122).

ATG5 gene expression was inhibited by two sequences of shRNAs, pLVX-ATG5-shRNA1 and pLVX-ATG5-shRNA2 (PPL, PPL00042).

Western blotting assay

Centrifuged at 1,500rpm, cells in culture were collected and washed twice with ice-cold PBS to eliminate leftover media. To extract protein, RIPA lysis solutions (Beyotime, P0013B) were added to cell pellets. Protein concentrations in lysates were determined using the Pierce BCA Protein Assay Kit (ThermoFisher, 23227), then SDS loading buffer (5X) was added and boiled at 95°C for 10 minutes. Protein samples were run on a 10% gradient gel SDS-PAGE and then transferred to a PVDF membrane. The membrane was blocked for 1 hour at room temperature in 5% milk before being treated with primary antibodies overnight at 4C. The membrane was washed three times with TBST the next day and incubated with secondary antibodies for one hour at room temperature. Enhanced chemiluminescence (ECL) was used to image membranes. And the following primary antibodies were used：ATG5 (Cell Signaling Technology, 2630S), GAPDH (Proteintech, 10494-1-AP), HDAC2 (Cell Signaling Technology, 2540S), TTK (Abcam, ab187520), CDK1 (Abcam, ab5467), MRPL18 (Proteintech, 15178-1-AP-100UL), MRPL13 (Proteintech, 16241-1-AP-100UL), MRPS14 (Proteintech, 16301-1-AP-100UL).

Flow cytometry analysis

Cells were planted in 6-well plates at a density of 0.5-1 x 10⁶ cells per well. Centrifuged cells were collected, rinsed in cold PBS, and resuspended in 1ml of 75 % ethanol in PBS and refrigerated overnight at -20C. Cells were centrifuged again and washed twice with cold PBS. After that, the cells were resuspended in PBS containing 20 mg/ml Propidium Iodide (PI), 0.1% Triton X-100 (Sigma, X100-100ml), and 0.1 mg/ml RNase A (Vazyme, R301-03) and incubated at 37 for 45 minutes. After incubation, cells were kept at 4°C until flow cytometry analysis.

Cell migration assay

Briefly, cells were pre-treated in serum-free medium overnight before seeded onto the upper chamber of the insert. In the bottom chamber, media with 20% serum was employed. A cotton-tipped applicator was used to remove cells that remained on the top of the membrane after 24 hours. Cells that had migrated to the insert's bottom were fixed in 70% ethanol and stained with 0.1% Crystal Violet. Migrated cells were imaged with an inverted microscope, quantified with ImageJ.

Translation efficiency analysis

For translation efficiency analysis, cells were treated with puromycin at a final concentration of 1M for 30 minutes at 37°C. The cells were then harvested and lysed in RIPA buffer with 1mM PMSF and protease inhibitor. Anti-puromycin (Merck Millipore, MABE343) was used to detect the cell translation efficiency by Western blot.

Polysome profile assay

The polysome profiling test was carried out as previously described. In brief, cells were seeded in 15 cm plates (about 10 ×10 ⁶ cells per plate). The cells were subsequently treated with 100 ug/ml actinomycin and incubated for 10 minutes at 37 °C. The cells were then harvested, and cell extract was fed into a sucrose gradient ranging from 10% to 50% using a BioComp gradient station. The gradient was revolved in the TH-641 rotor for 3 hours at 36000 rpm and 4 °C. Finally, BioComp gradient station was used to assess the gradient (260nm) and gathered the components.

TCGA data

UCSC XENA (http://xena.ucsc.edu/) was used to get RNA-seq readings and clinical data from TCGA patients with head and neck squamous cell carcinoma. The study eliminated samples that did not have clinical survival status follow-up data. These ARGs, which were discovered as significant autophagy regulators, were required for autophagosome formation, and were analyzed further. Throughout the project, the main tools for data analysis were R studio and R programming (4.03).

Survival Analysis

The "surv cutpoint" function in the "survminer" package was used to find the best ARG cutoff values according to the expressions Transcript per million reads (TPM) value, survival time, and survival status. Patients having relative values above or below the optimal threshold for each gene expression level were separated into high or low groups. The difference in OS between the high and low groups was then investigated using Kaplan–Meier (KM) survival analysis with log-rank test.

Statistical analysis

Statistical significance was calculated using the GraphPad Prism 8 software and Rstudio software, and p < 0.05 was used to determine statistical significance. Unless otherwise stated, data is provided as mean ± SD. Statistical comparisons were analyses by unpaired Student t test with two-tailed p value. The KM method and the log-rank test were used to conduct the survival analysis.

Prognosis of ARGs in HNSCC

In HNSCC, high levels of ATG5 and ATG12 expression were linked to a poor prognosis, while patients with ATG2A, ATG3, ATG4B, ATG4C, ATG7, and ATG9B overexpression have a longer OS and a better 5-year survival rate (Figure 1). According the data, ATG5 and ATG12 has been discovered as a risk prognostic predictor, whereas other six ARGs have been identified as positive prognostic indicators. Furthermore, according to KM survival analysis, ATG5 expression can accurately predict the prognosis of patients with HNSCC with varied clinical phases, Tumor stage, and Tumor grade at diagnosis (Figure 2). Taken together, ATG5 seems to be the best candidate for further analysis.

ATG5 expression was upregulated and correlated with malignant phenotype in HNSCC

Firstly, ATG5 mRNA expression was analyzed between HNSCC tissues and normal tissues according to the TCGA database to see if ATG5 plays a role in HNSCC. ATG5 was shown to be upregulated in tumor tissues according to TCGA data (Figure 3A). ATG5 expression was also different depending on clinicopathologic factors: ATG5 was elevated with tumor stage 4 compared to lower tumor stage (Figure 3B). And ATG5 expression was also linked to tumor grade (Figure 3C). Besides, ATG5 expression was higher in patients with HPV infection than HPV negative, indicating that ATG5 serves as a risk factor in HNSCC (Figure 3D).

Then, six HNSCC cell lines were chosen and their HNSCC protein levels analyzed to study the function of ATG5 as a possible oncogene in HNSCC cells. One HNSCC cell line (SCC25) was found to have greater levels of expression (Figure 3E). Then we used two shRNAs aimed at ATG5 to treat SCC25, and the results revealed that protein levels were significantly reduced (Figure 3F). The clony formation experiment revealed that ATG5 downregulation significantly reduced cellular clony formation capacity (Figure 3G). Importantly, according to the results of the transwell migration experiment, silencing of ATG5 decreased HNSCC migratory potential (Figure 3H). Therefore, our results revealed that lowering ATG5 expression might stop HNSCC cells from proliferating and migrating.

Co-expression genes correlated with ATG5 in HNSCC

We investigated the ATG5 co-expressed genes in HNSCC patients based on the TCGA data, in which the statistical method was Pearson correlation coefficient. 4668 genes were identified to positively associated with ATG5, while 3724 genes were negatively associated (Figure 4A). The top 50 genes that are positively or negatively correlated with ATG5 were shown on the heat map (Figures 4B-C). Then the biological pathway of the top ATG5-related co-expressed genes was then investigated using KEGG enrichment analysis. The ribosome and the cell cycle are linked to ATG5 co-expressed genes (Figure 4D). Furthermore, as shown in Figure 4E-J, ATG5 expression was also shown to be positively associated with HDAC2, TTK, CDK1 (cell cycle pathway related genes) and MRPL13, MRPL18 MRPS13 (ribosome related genes).

ATG5 knockdown reversed cell cycle and translation of HNSCC cells

By cell cycle distribution assay, ATG5 deletion had a significant negative effect on the distribution of S phase of HNSCC cells when compared to the control group (Figure 5A). Subsequently, the puromycin and polysome profiling assay were used to determine the involvement of ATG5 in translation. Similarly, the results indicated that downregulation of ATG5 markedly reduced the whole protein synthesis in HNSCC cells (Figure 5B-C). Further investigation found that knocking down ATG5 in SCC25 cells downregulated the expression of cell cycle related markers (HDAC2, TTK, and CDK1), ribosome-related proteins (MRPL18, MRPL13, and MRPS14) (Figure 5D). In general, suppression of ATG5 could inhibit proliferation and migration in HNSCC cells by reversing the cell cycle and translation process through specific pathways.

Autophagy is a process in which cellular material is transferred to lysosomes for degrading [14], allowing for basic cell component turnover as well as the provision of energy and macromolecular precursors. In cancer, autophagy has conflicting, context-dependent functions, and cancer treatments that both activate and inhibit autophagy have been proposed. For instance, autophagy may induce or inhibit apoptosis in the same tumor cell population in various biological settings in exposure to death signals like CD95 ligand (CD95L) or tumor necrosis factor-related apoptosis-inducing ligand (TRAIL), both of which function as death receptor agonists [15]. Autophagy has been proven in several studies to have a significant role in cancer cell survival [16; 17; 18]. It has been suggested that autophagy contributes to cancer aggressiveness by aiding metastasis. Furthermore, autophagy, as a cellular defense mechanism, has the potential to impair the effectiveness of most chemotherapeutic drugs.

Aberrant activation of the central cell-cycle machinery may be found in almost all cancer types and is thought to be a driving force underlying carcinogenesis [19; 20]. According to recent research, cell-cycle proteins govern a wide range of biological activities in addition to stimulating cell division. In fact, genetic defects in the central cell-cycle machinery that cause hyperactivation play a role in the formation of almost all cancer types. With the success of CDK4/6 inhibitors in the clinic [21], it's becoming evident that focusing on certain cell-cycle components might be an effective anti-cancer strategy.

Deregulation of protein biosynthesis may also play a role in various facets of malignant tumor, including gene expression, cell signaling, and driving cell biological responses, all of which contribute to cancer development, invasion, and metastasis [22; 23]. The study of translational control's molecular processes may aid in the development of more effective anti-cancer medications and innovative therapeutic prospects. Researchers have recently concentrated on targeting translational machinery to treat cancer, and several tiny molecular inhibitors targeting translation factors or pathways have been evaluated in clinical trials and shown to improve outcomes in a variety of cancer types [24]. Without a doubt, understanding the class of translation regulatory proteins would give a new target for pharmacologic intervention and open new avenues for developing effective anti-tumor therapeutics.

In our study, we investigated the prognosis of the ARG hallmark in HNSCC patients. ATG5 and ATG12 were all shown to be unfavorable prognostic indicators according to the TCGA data. One of the most important regulators of autophagy is ATG5. HNSCC patients with high ATG5 expression had a lower survival rate regardless of Tumor stage, grade, or clinical features. The high ATG5 group's KM curve, on the other hand, was much lower than the low ATG5 groups. Our data revealed that ATG5 was a key factor in HNSCC's poor prognosis. ATG5 overexpression has also been linked to worse clinical outcomes in other malignancies. Positive ATG5 expression, on the other hand, indicates a better prognosis in individuals with breast cancer [25] and osteosarcoma [26].

Atg5-mediated autophagy deficit in the proximal tubules enhances cell cycle G2/M arrest and renal fibrosis, according to researchers [27]. To present, however, the impact of ATG5 on cell cycle, translation, and prognosis in HNSCC remains unclear. In HNSCC, we investigated the correlation between ATG5 and cell cycle and translation-related gene signatures. The influence of ATG5 on cell cycle and translation efficiency was also investigated using HNSCC cell lines.

ATG5 knockdown could inhibit malignant phenotype of HNSCC by reversing cell cycle and translation. HDAC2, TTK, and CDK1 might be one of the processes governing cell cycle control in ATG5-dependent manners. Possible mechanisms involved in ATG5-dependent translation control include MRPL18, MRPL13, and MRPS14. However, function gain and elimination of these genes were needed to be conducted in our further mechanism exploration.

In conclusion, ATG5 is implicated in the cell cycle process and translation regulation in HNSCC, and its expression level may impact patient survival, suggesting that ATG5 might be a potentially strong therapeutic target for HNSCC.

Conflicts of Interest

The authors indicate no potential conflicts.

Contributions

JW and HL conceived and designed this project. JW, HZ, and HF conducted experiments and interpreted results of experiments. JW drafted paper, edited, and revised manuscript. HZ, HF, and ST perform patients’ data analysis. JW and HL prepared figures. All authors read and approved the final manuscript.

Acknowledgments

This study was funded by the National Natural Science Foundation of China (81900972) and the Shenzhen Science and Technology Project (JCYJ20210324114200001).

R.L. Siegel, K.D. Miller, A. Jemal, Cancer statistics, 2020, CA Cancer J Clin 70 (2020)7–30.
D.E. Johnson, B. Burtness, C.R. Leemans, et al., Head and neck squamous cell carcinoma, NAT REV DIS PRIMERS 6 (2020)92.
B. Burtness, K.J. Harrington, R. Greil, et al., Pembrolizumab alone or with chemotherapy versus cetuximab with chemotherapy for recurrent or metastatic squamous cell carcinoma of the head and neck (KEYNOTE-048): a randomised, open-label, phase 3 study, LANCET 394 (2019)1915–1928.
A.G. Sacco, R. Chen, F.P. Worden, et al., Pembrolizumab plus cetuximab in patients with recurrent or metastatic head and neck squamous cell carcinoma: an open-label, multi-arm, non-randomised, multicentre, phase 2 trial, LANCET ONCOL 22 (2021)883–892.
Z. Xie, D.J. Klionsky, Autophagosome formation: core machinery and adaptations, NAT CELL BIOL 9 (2007)1102–9.
L. Yu, Y. Chen, S.A. Tooze, Autophagy pathway: Cellular and molecular mechanisms, AUTOPHAGY 14 (2018)207–215.
T. Shintani, D.J. Klionsky, Autophagy in health and disease: a double-edged sword, SCIENCE 306 (2004)990–5.
B. Levine, G. Kroemer, Autophagy in the pathogenesis of disease, CELL 132 (2008)27–42.
Y. Kondo, S. Kondo, Autophagy and cancer therapy, AUTOPHAGY 2 (2006)85–90.
M. Hao, S.K. Yeo, K. Turner, et al., Autophagy Blockade Limits HER2 + Breast Cancer Tumorigenesis by Perturbing HER2 Trafficking and Promoting Release Via Small Extracellular Vesicles, DEV CELL 56 (2021)341–355.e5.
C. Fung, R. Lock, S. Gao, et al., Induction of autophagy during extracellular matrix detachment promotes cell survival, MOL BIOL CELL 19 (2008)797–806.
R.L. Macintosh, P. Timpson, J. Thorburn, et al., Inhibition of autophagy impairs tumor cell invasion in an organotypic model, CELL CYCLE 11 (2012)2022–9.
Y.F. Peng, Y.H. Shi, Z.B. Ding, et al., Autophagy inhibition suppresses pulmonary metastasis of HCC in mice via impairing anoikis resistance and colonization of HCC cells, AUTOPHAGY 9 (2013)2056–68.
D.J. Klionsky, Autophagy: from phenomenology to molecular understanding in less than a decade, Nat Rev Mol Cell Biol 8 (2007)931–7.
J.M. Gump, L. Staskiewicz, M.J. Morgan, et al., Autophagy variation within a cell population determines cell fate through selective degradation of Fap-1, NAT CELL BIOL 16 (2014)47–54.
J.K. Altman, A. Szilard, D.J. Goussetis, et al., Autophagy is a survival mechanism of acute myelogenous leukemia precursors during dual mTORC2/mTORC1 targeting, CLIN CANCER RES 20 (2014)2400–9.
Z. Kun, G. Hanqing, T. Hailing, et al., Gastrin Enhances Autophagy and Promotes Gastric Carcinoma Proliferation via Inducing AMPKalpha, ONCOL RES 25 (2017)1399–1407.
A. Masui, M. Hamada, H. Kameyama, et al., Autophagy as a Survival Mechanism for Squamous Cell Carcinoma Cells in Endonuclease G-Mediated Apoptosis, PLOS ONE 11 (2016)e0162786.
Z. Yu, P. Deng, Y. Chen, et al., Inhibition of the PLK1-Coupled Cell Cycle Machinery Overcomes Resistance to Oxaliplatin in Colorectal Cancer, Adv Sci (Weinh) 8 (2021)e2100759.
A.B. Williams, B. Schumacher, p53 in the DNA-Damage-Repair Process, Cold Spring Harb Perspect Med 6 (2016).
B. O'Leary, R.S. Finn, N.C. Turner, Treating cancer with selective CDK4/6 inhibitors, NAT REV CLIN ONCOL 13 (2016)417–30.
A.K. Murugan, mTOR: Role in cancer, metastasis and drug resistance, SEMIN CANCER BIOL 59 (2019)92–111.
S. Tahmasebi, A. Khoutorsky, M.B. Mathews, et al., Translation deregulation in human disease, Nat Rev Mol Cell Biol 19 (2018)791–807.
J. Lin, D. Zhou, T.A. Steitz, et al., Ribosome-Targeting Antibiotics: Modes of Action, Mechanisms of Resistance, and Implications for Drug Design, ANNU REV BIOCHEM 87 (2018)451–478.
L. Wang, L. Yao, Y.Z. Zheng, et al., Expression of autophagy-related proteins ATG5 and FIP200 predicts favorable disease-free survival in patients with breast cancer, Biochem Biophys Res Commun 458 (2015)816–22.
G.S. Zhao, Z.R. Gao, Q. Zhang, et al., TSSC3 promotes autophagy via inactivating the Src-mediated PI3K/Akt/mTOR pathway to suppress tumorigenesis and metastasis in osteosarcoma, and predicts a favorable prognosis, J Exp Clin Cancer Res 37 (2018)188.
H. Li, X. Peng, Y. Wang, et al., Atg5-mediated autophagy deficiency in proximal tubules promotes cell cycle G2/M arrest and renal fibrosis, AUTOPHAGY 12 (2016)1472-86.

No competing interests reported.

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ATG5 promotes head and neck squamous cell carcinoma by regulating translation and cell cycle

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